At The Next FPGA Platform event in San Jose, California on January 22, Jose Alvarez, Intel PSG CTO, Jose Alvarez outlined the three levels of heterogeneous integration. …
The Three Levels of Heterogeneous Integration was written by Josh Gibson at The Next Platform.
With the ramping of volumes, the maturing of the manufacturing process, and the widening number of use cases in the field, there is always an opportunity for the lineup of every type and generation of compute engine to get some tweaks here and there. …
AMD Tweaks Rome Epyc Server Chip Lineup was written by Timothy Prickett Morgan at The Next Platform.
Networks at financial branches like banks require high security, low latency and constant...
Whether required to speak to the public occasionally, or more or less a regular basis, most people suffer from nerves, which ends up with their saliva drying up, and many speakers stating that they experience severe dry throat that “feels like a hairball in my throat.”
Speaking around this hairball feeling can be difficult. In other cases, colds and allergies can result in sore dry throats that makes it difficult to talk, which can affect teachers and other professionals who need to do a lot of public speaking during the course of any day. This makes it essential that people who need to speak in public find something that will help to prevent that dry throat due to public speaking.
If you are one of those people who gets nervous speaking in public and complains that it “feels like a hairball in my throat,” then learning some relaxation techniques that you can use just minutes before getting up in public and speaking may help calm your nerves and ease or prevent that dry feeling in your throat.
Jim Keller recently gave a fascinating and far ranging interview on the AI Podcast. You can find it at Moore's Law, Microprocessors, Abstractions, and First Principles.
One of the many topics of discussion was the often predicted death of Moore's Law. In case you've never heard of Jim Keller before, from this intro you can immediately understand why he may have special insight on the topic:
Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel. He's known for his work on the AMD K7, K8, K12 and Zen microarchitectures, Apple A4, A5 processors, and co-author of the specifications for the x86-64 instruction set and HyperTransport interconnect.
Before we can understand why Moore's Law is not ending soon, we need to understand the idea of a diminishing return curve (this is a gloss of the talk, any errors or omissions are mine, but I tried to get the feel of it):
A project first goes up and then shows diminishing returns over time. To get to the next level you need to start a new project. The initial starting point of that new project will be lower than the return of the Continue reading
Elenion designs system-on-chip silicon photonics technology targeted at telecom operators, data...
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| SONiC: sFlow High Level Design |
Are containers a fad? Or maybe just the wrong answer to a problem you're trying to solve. On today's Day Two Cloud podcast, container contrarian Dave Tucker discusses the problems containers solve, the new ones they create, and why you might want to think twice before you immediately adopt containers as your next application platform.
The post Day Two Cloud 036: The Container Contrarian appeared first on Packet Pushers.
"Contracting with the federal government is a privilege, not a constitutionally guaranteed right,"...
The optical giant says the routers will help network operators achieve the low-latency,...
Customers can manage hundreds of ROBO locations through Cohesity Helios similar to how they manage...
In October of 2019, as part of Red Hat Ansible Engine 2.9, the Ansible Network Automation team introduced the concept of resource modules. These opinionated network modules make network automation easier and more consistent for those automating various network platforms in production. The goal for resource modules was to avoid creating overly complex jinja2 templates for rendering network configuration. This blog post goes through the eos_vlans module for the Arista EOS network platform. I walk through several examples and describe the use cases for each state parameter and how we envision these being used in real world scenarios.
Before starting let’s quickly explain the rationale behind naming of the network resource modules. Notice for resource modules that configure VLANs there is a singular form (eos_vlan, ios_vlan, junos_vlan, etc) and a plural form (eos_vlans, ios_vlans, junos_vlans). The new resource modules are the plural form that we are covering today. We have deprecated the singular form. This was done so that those using existing network modules would not have their Ansible Playbooks stop working and have sufficient time to migrate to the new network automation modules.
Let's start with an example of the eos_vlans Continue reading
Enterprise IT continues to cast its attentions – and sometimes its aspersions – out to the edge, that place outside of traditional datacenters and beyond that cloud where data is increasingly being generated and processed. …
The Continuum From Edges To Datacenters was written by Jeffrey Burt at The Next Platform.
Urban legends claim that Sir Isaac Newton started thinking about gravity when an apple dropped on his head. Regardless of its origins, his theory successfully predicted planetary motions and helped us get people to the moon… there was just this slight problem with Mercury’s precession.
Likewise, his laws of motion worked wonderfully until someone started crashing very small objects together at very high speeds, or decided to see what happens when you give electrons two slits to go through.
Then there was the tiny problem of light traveling at the same speed in all directions… even on objects moving in different directions.
Urban legends claim that Sir Isaac Newton started thinking about gravity when an apple dropped on his head. Regardless of its origins, his theory successfully predicted planetary motions and helped us get people to the moon… there was just this slight problem with Mercury’s precession.
Likewise, his laws of motion worked wonderfully until someone started crashing very small objects together at very high speeds, or decided to see what happens when you give electrons two slits to go through.
Then there was the tiny problem of light traveling at the same speed in all directions… even on objects moving in different directions.
Read more ...Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML, Agrawal et al., CIDR’20
"Cloudy with a high chance of DBMS" is a fascinating vision paper from a group of experts at Microsoft, looking at the transition of machine learning from being primarily the domain of large-scale, high-volume consumer applications to being an integral part of everyday enterprise applications.
When it comes to leveraging ML in enterprise applications, especially in regulated environments, the level of scrutiny for data handling, model fairness, user privacy, and debuggability will be substantially higher than in the first wave of ML applications.
Throughout the paper, this emerging class of applications are referred to as EGML apps: Enterprise Grade Machine Learning. And there’s going to be a lot of them!
Enterprises in every industry are developing strategies for digitally transforming their businesses at every level. The core idea is to continuously monitor all aspects of the business, actively interpret the observations using advanced data analysis – including ML – and integrate the learnings into appropriate actions that improve business outcomes. We predict that in the next 10 years, hundreds of thousands of small teams will build millions of ML-infused applications – Continue reading